Agent Telegram

When a user uploads a file to Claude, you can intelligently detect its type and read it using the appropriate method. Instead of blindly running cat on binary files or loading massive CSVs into context, this skill routes each file type to the right tool, reading only what's needed to answer the user's question. You'll extract text from PDFs, parse structured data from CSVs and JSON, process images, and decompress archives—all without wasting context or producing garbage output.

by seifbenayed

This skill automatically documents your entire analytics infrastructure by analyzing data sources, transformations, and outputs. You'll generate production-ready data dictionaries with field definitions, lineage maps showing data flow across systems, and transformation documentation that explains logic and dependencies. Save weeks of manual documentation work while keeping your analytics stack discoverable as it evolves.

by moonwell-fi

You can build production-grade vector search systems that retrieve semantically similar documents in sub-millisecond time using AgentDB's optimized HNSW indexing. The skill enables you to implement RAG pipelines, semantic search engines, and intelligent knowledge bases with configurable embedding dimensions, distance metrics (cosine, Euclidean, dot product), and similarity thresholds—all with built-in quantization and caching for massive performance gains.

by moonwell-fi

You'll systematically diagnose data quality problems by developing structured root cause analysis frameworks, calculating the true business impact, and creating reproducible validation tests. This skill walks you through hypothesis-driven investigation, data lineage analysis, and remediation planning — turning data issues into documented fixes and preventive measures.

by moonwell-fi

You can systematically evaluate and improve your RAG pipelines using Claude as a design partner. You'll analyze retrieval quality, identify bottlenecks in your embedding and chunking strategies, and receive actionable recommendations to reduce hallucinations and improve context relevance. By the end, you'll have a data-driven optimization plan tailored to your specific use case and performance metrics.

by moonwell-fi

You'll build comprehensive data quality test suites that validate transformations, detect anomalies, and document standards across your dbt and SQL pipelines. This skill generates production-ready test configurations, anomaly detection protocols, and validation rules that catch data issues before they impact analytics.

by moonwell-fi

You can design multi-dimensional evaluation strategies tailored to your model's specific capabilities and use cases, create representative test sets that expose edge cases and failure modes, implement automated scoring mechanisms for reproducible results, and generate benchmark comparison reports that contextualize performance within industry standards. This skill transforms ad-hoc testing into systematic, evidence-based model assessment—essential for production deployment decisions and ongoing performance monitoring.

by moonwell-fi

Query your local Screenpipe instance to retrieve screen recordings, audio transcriptions, UI element accessibility trees, keyboard/mouse input logs, and productivity analytics. You can search by keywords, filter by content type (audio, OCR, accessibility, input), set time ranges, and extract structured data about your applications, meetings, and work sessions without sending data to external servers.

by az9713